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Stream Rows and Kafka Topics Directly into Snowflake with Snowpipe Streaming

Snowflake

But before data can be transformed and served or shared, it must be ingested from source systems. As part of this, we are also supporting Snowpipe Streaming as an ingestion method for our Snowflake Connector for Kafka. This solution is both scalable and reliable, as we have been able to effortlessly ingest upwards of 1GB/s throughput.”

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The Good and the Bad of Apache Kafka Streaming Platform

AltexSoft

Kafka can continue the list of brand names that became generic terms for the entire type of technology. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. In this article, we’ll explain why businesses choose Kafka and what problems they face when using it. What is Kafka?

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Bust the Burglars – Machine Learning with TensorFlow and Apache Kafka

Confluent

How cool would it be to build your own burglar alarm system that can alert you before the actual event takes place simply by using a few network-connected cameras and analyzing the camera images with Apache Kafka ® , Kafka Streams, and TensorFlow? I will show how to implement this use case in this blog post.

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Fault Tolerance in Distributed Systems: Tracing with Apache Kafka and Jaeger

Confluent

Using Jaeger tracing, I’ve been able to answer an important question that nearly every Apache Kafka ® project that I’ve worked on posed: how is data flowing through my distributed system? Distributed tracing with Apache Kafka and Jaeger. Distributed tracing with Apache Kafka and Jaeger.

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Spring for Apache Kafka Deep Dive – Part 2: Apache Kafka and Spring Cloud Stream

Confluent

On the heels of part one in this blog series, Spring for Apache Kafka – Part 1: Error Handling, Message Conversion and Transaction Support , here in part two we’ll focus on another project that enhances the developer experience when building streaming applications on Kafka: Spring Cloud Stream. What is Spring Cloud Stream?

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Spring for Apache Kafka Deep Dive – Part 3: Apache Kafka and Spring Cloud Data Flow

Confluent

Following part 1 and part 2 of the Spring for Apache Kafka Deep Dive blog series, here in part 3 we will discuss another project from the Spring team: Spring Cloud Data Flow , which focuses on enabling developers to easily develop, deploy, and orchestrate event streaming pipelines based on Apache Kafka ®. Command Line Shell.

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Revolutionizing Real-Time Streaming Processing: 4 Trillion Events Daily at LinkedIn

LinkedIn Engineering

In 2010, they introduced Apache Kafka , a pivotal Big Data ingestion backbone for LinkedIn’s real-time infrastructure. To transition from batch-oriented processing and respond to Kafka events within minutes or seconds, they built an in-house distributed event streaming framework, Apache Samza. hours to 25 minutes).

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